Rahul Kumar

Sr. SWE @๐—ก๐˜ƒ๐—ถ๐—ฑ๐—ถ๐—ฎ | Ex-๐๐ฎ๐š๐ฅ๐œ๐จ๐ฆ๐ฆ | ๐‹๐ข๐ง๐ฎ๐ฑ ๐Š๐ž๐ซ๐ง๐ž๐ฅ ๐˜๐˜ฏ๐˜ต๐˜ฆ๐˜ณ๐˜ฏ๐˜ข๐˜ญ/ ๐˜‹๐˜ฆ๐˜ท๐˜ช๐˜ค๐˜ฆ ๐˜‹๐˜ณ๐˜ช๐˜ท๐˜ฆ๐˜ณ | ๐˜”๐˜ช๐˜ค๐˜ณ๐˜ฐ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ณ๐˜ฐ๐˜ญ๐˜ญ๐˜ฆ๐˜ณ | Firmware | ๐‚๐ซ๐ฒ๐ฉ๐ญ๐จ๐ ๐ซ๐š๐ฉ๐ก๐ฒ | Network ๐˜š๐˜ฆ๐˜ค๐˜ถ๐˜ณ๐˜ช๐˜ต๐˜บ

Role
Senior Software Engineering at NVIDIA
Location
Jammu & Kashmir, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Rahul Kumar

I am a Software Engineer at (), specializing in a diverse range of -() platforms. I specialize in implementing diverse cryptographic algorithms, including linear and Differential cryptanalysis. My expertise lies in crafting secure code for low-level programming, mastering problem-solving techniques (), and excelling in System Design (). & : I possess extensive experience in developing new features for the core Linux kernel and device drivers. My proficiency extends to various kernel internals, including scheduler, memory management, synchronization mechanisms & Linux power management. Additionally, I have basic knowledge of the System Control & Management Interface (SCMI) architecture: My strong expertise lies in ARMv8 architecture and ARM Trusted Firmware, particularly EL3 Secure Monitor. I am well-versed in handling complex new-generation SoCs, multi-cluster systems, and cache-coherent interconnects. Furthermore, I have rich experience with ARMv8 architecture-based 64-bit Application processors: I am skilled in effectively utilizing JTAG Debugger and various debug-based Kernel configs. Additionally, I have extensive experience in debugging using the Lauterbach Trace-32 debugger and have developed T32 scripts for debugging various system functionalities. & : Conducted a series of experiments aimed at training individuals to distinguish between computer-generated images (CGI) and photographic images. Utilized convolutional neural networks (CNN) to analyze a diverse range of CGI and photographic imagery. Individuals are encountering challenges in distinguishing between CGI and photographic images, leading to an accuracy rate of 92.3% in misidentification: Software Development, Linux Kernel, Device Driver, Firmware Development, System Design, RTOS, Problem Solving, DSA, SDLC

Experience

  1. Senior Software Engineering

    NVIDIA

    Jul 2025 โ€” Present ยท Bengaluru, IN

Education

  • Indian Institute of Technology Jammu

    Master of Technology - MTech

    2020 โ€” 2022

  • Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

    Bachelor of Technology - BTech

    2014 โ€” 2018

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Rahul Kumar โ€” Senior Software Engineering at NVIDIA in Jammu & Kashmir, IN | Unifers